LeanIX GmbH

LeanIX was founded by Jörg Beyer and André Christ in 2012. Prior to founding LeanIX, Jörg Beyer and André Christ have both worked in various IT Management Positions i.e. as CIO at Deutsche Post. In the first 3 years the company was bootstrapped and grew without external funding thanks to the first product "LeanIX" which was first released in October 2012. In February 2015 Capnamic Ventures and Iris Capital invested USD 2.5 Mio (EUR 2.2 Mio) in a Series A financing round.

LeanIX GmbH Bonn, Germany
07/09/2020
Full time
POSITION We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective will be to improve and extend the features used by our users and develop automated internal A/B testing procedures. WHAT IS WAITING FOR YOU? Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Extending company´s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly...
LeanIX GmbH Bonn, Germany
24/08/2020
Full time
POSITION We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective will be to improve and extend the features used by our users and develop automated internal A/B testing procedures. WHAT IS WAITING FOR YOU? Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Extending company´s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly...